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1909.12057
Cited By
B-Spline CNNs on Lie Groups
26 September 2019
Erik J. Bekkers
AI4CE
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Papers citing
"B-Spline CNNs on Lie Groups"
45 / 95 papers shown
Title
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu
Jiahui Lei
Edgar Dobriban
Kostas Daniilidis
23
19
0
16 Jun 2022
Learning Invariant Weights in Neural Networks
Tycho F. A. van der Ouderaa
Mark van der Wilk
22
21
0
25 Feb 2022
A precortical module for robust CNNs to light variations
R. Fioresi
J. Petkovic
14
1
0
15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
M. Rath
A. P. Condurache
25
8
0
08 Feb 2022
Dilated convolution with learnable spacings
Ismail Khalfaoui-Hassani
Thomas Pellegrini
T. Masquelier
10
31
0
07 Dec 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups
Hugo Aguettaz
Erik J. Bekkers
M. Defferrard
GNN
11
1
0
23 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Liyao (Mars) Gao
Guang Lin
Wei-wei Zhu
20
8
0
22 Nov 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Weitao Du
He Zhang
Yuanqi Du
Qi Meng
Wei-Neng Chen
Bin Shao
Tie-Yan Liu
53
79
0
26 Oct 2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
David M. Knigge
David W. Romero
Erik J. Bekkers
16
30
0
25 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Johannes Brandstetter
Rob D. Hesselink
Elise van der Pol
Erik J. Bekkers
Max Welling
17
229
0
06 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
33
39
0
05 Oct 2021
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
56
137
0
09 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang
Yuan-Bin Liu
Zhen Dong
Wenping Wang
3DPC
27
124
0
01 Sep 2021
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner
Maurice Weiler
20
27
0
18 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
Ylva Jansson
T. Lindeberg
11
23
0
11 Jun 2021
Group Equivariant Subsampling
Jin Xu
Hyunjik Kim
Tom Rainforth
Yee Whye Teh
26
21
0
10 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
DRL
32
22
0
07 Jun 2021
DISCO: accurate Discrete Scale Convolutions
Ivan Sosnovik
A. Moskalev
A. Smeulders
20
31
0
04 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
Anindita Maiti
Keegan Stoner
James Halverson
23
20
0
01 Jun 2021
Symmetry-driven graph neural networks
Francesco Farina
E. Slade
34
4
0
28 May 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
76
185
0
19 Apr 2021
Autoequivariant Network Search via Group Decomposition
Sourya Basu
A. Magesh
Harshit Yadav
L. Varshney
24
6
0
10 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
25
2
0
07 Apr 2021
Group Equivariant Conditional Neural Processes
M. Kawano
Wataru Kumagai
Akiyoshi Sannai
Yusuke Iwasawa
Y. Matsuo
BDL
45
20
0
17 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI
Philip Muller
Vladimir Golkov
V. Tomassini
Daniel Cremers
DiffM
MedIm
17
28
0
13 Feb 2021
LieTransformer: Equivariant self-attention for Lie Groups
M. Hutchinson
Charline Le Lan
Sheheryar Zaidi
Emilien Dupont
Yee Whye Teh
Hyunjik Kim
23
111
0
20 Dec 2020
Learning Equivariant Representations
Carlos Esteves
BDL
22
0
0
04 Dec 2020
Learning Invariances in Neural Networks
Gregory W. Benton
Marc Finzi
Pavel Izmailov
A. Wilson
19
69
0
22 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution
Robin G. Walters
Jinxi Li
Rose Yu
26
43
0
21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang
Maurice Weiler
32
53
0
21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi
Roberto Bondesan
Max Welling
BDL
AI4TS
26
13
0
21 Oct 2020
Sampling using
S
U
(
N
)
SU(N)
S
U
(
N
)
gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
25
127
0
12 Aug 2020
Scale Equivariance Improves Siamese Tracking
Ivan Sosnovik
A. Moskalev
A. Smeulders
11
79
0
17 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
A. P. Condurache
ViT
AI4CE
27
9
0
30 Jun 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases
M. Cranmer
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Rui Xu
Kyle Cranmer
D. Spergel
S. Ho
AI4CE
17
462
0
19 Jun 2020
Spin-Weighted Spherical CNNs
Carlos Esteves
A. Makadia
Kostas Daniilidis
19
69
0
18 Jun 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
Valentin Oreiller
Vincent Andrearczyk
Julien Fageot
John O. Prior
A. Depeursinge
14
1
0
28 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning
Mirgahney Mohamed
Gabriele Cesa
Taco S. Cohen
Max Welling
MedIm
24
18
0
21 Apr 2020
Local Rotation Invariance in 3D CNNs
Vincent Andrearczyk
Julien Fageot
Valentin Oreiller
X. Montet
A. Depeursinge
34
23
0
19 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
17
316
0
25 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge
Erik J. Bekkers
J. Pluim
R. Duits
M. Veta
MedIm
19
74
0
20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang
Robin G. Walters
Rose Yu
AI4CE
46
167
0
08 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks
B. Smets
J. Portegies
Erik J. Bekkers
R. Duits
AI4CE
11
53
0
24 Jan 2020
A sub-Riemannian model of the visual cortex with frequency and phase
Emre Baspinar
A. Sarti
G. Citti
11
12
0
11 Oct 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
165
308
0
05 Nov 2018
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